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AI and data analysis drive operational efficiency across multiple sectors
Various sectors are increasingly adopting artificial intelligence and advanced data analysis to optimize operations and decision-making. In the legal and corporate sectors, data analysis is being used to transform raw information into actionable management knowledge, helping to identify productivity trends and operational bottlenecks.
In the utility sector, Cemig reported a significant increase in customer demand retention, rising from 8% to 62% through the use of a cognitive IVR system capable of recognizing regional expressions. Similarly, the TOTVS Universo 2026 event will focus on how AI, automation, and channels like WhatsApp are reshaping marketing, sales, and customer service integration.
The healthcare industry is also exploring these technologies. A recent SindHosp workshop highlighted how AI and system interoperability can reduce the time between problem identification and decision-making, such as predicting patient hospitalization needs through real-time data analysis.
Entities
Cemig · Invisual Tecnologia · RD Station · Sidney Muniz · SindHosp · TOTVS
Claims
What the coverage asserts, and how many sources carry each claim.
- [○ 1 SOURCE] The Universo TOTVS 2026 event will feature 12 sessions covering topics like AI, WhatsApp sales management, and marketing automation. ascoferj.com.br
- [○ 1 SOURCE] AI can potentially calculate the probability of patient hospitalization during emergency room visits by analyzing vital signs and history. sindhosp.org.br
- [○ 1 SOURCE] Technology tools can consolidate and analyze data from different bases to provide actionable intelligence. sindhosp.org.br
- [○ 1 SOURCE] Sidney Muniz stated that humans cannot cross-reference large volumes of real-time data manually. sindhosp.org.br